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stat.ME2026
The Bayesian Gaussian Process Latent Variable Model for Spatio-Temporal Stream Networks
Marno Basson, Tobias M. Louw, Theresa R. Smith
A variational inference-based framework for training a multi-output Gaussian process latent variable model, specifically tailored to the tails-up spatio-temporal stream network, is…
stat.ME2023
Smoothing for age-period-cohort models: a comparison between splines and random process
Connor Gascoigne, Theresa Smith, Andrea Riebler
Age-Period-Cohort (APC) models are well used in the context of modelling health and demographic data to produce smooth estimates of each time trend. When smoothing in the context o…